Halcon二维码识别（创建-训练-识别-清除)

**********************初阶，创建-识别-清除***************************

create_data_code_2d_model ('QR Code', [], [], DataCodeHandle)

read_image(Image1,'C:/Users/研发/Pictures/Saved Pictures/二维码/123456.PNG')

find_data_code_2d(Image1, SymbolXLDs1, DataCodeHandle, [], [], ResultHandles, DecodedDataStrings)

clear_data_code_2d_model (DataCodeHandle)

***********************进阶，创建-训练-识别-清除**********************

*训练二维码，只需将find_data_code_2d_model中的参数设为train、all

Path:='D:\\IPI\\Halcon12Projects\\二维码训练模板.dcm'

*创建

create_data_code_2d_model ('QR Code', [], [], DataCodeHandle)

list_files ('D:/2dcode', 'files', Files)

for Index:=0 to |Files|-1 by 1

read_image (Image, Files[Index])

*训练

find_data_code_2d (Image,SymbolXLDs,DataCodeHandle,'train','all', ResultHandles, DecodedDataStrings)

endfor

*写入本地

write_data_code_2d_model(DataCodeHandle,Path)

*使用训练的模板进行识别，若识别失败，则进行训练当前图像（若训练后识别成功，则将训练后的句柄写入）

file_exists(Path, FileExists)

if(FileExists=1)

*读取本地

read_data_code_2d_model (Path, DataCodeHandle)

list_files ('D:/2dcode', 'files', Files)

for Index:=0 to |Files|-1 by 1

read_image (Image, Files[Index])

*使用训练的句柄识别

find_data_code_2d(Image, SymbolXLDs, DataCodeHandle, [], [], ResultHandles, DecodedDataStrings)

count_obj(SymbolXLDs, Number)

*判断围绕二维码的轮廓是否小于1

if(Number<1)

find_data_code_2d (Image,SymbolXLDs,DataCodeHandle,'train','all', ResultHandles, DecodedDataStrings)

count_obj(SymbolXLDs,Number)

if(Number>0)

write_data_code_2d_model (DataCodeHandle,Path)

endif

endif

if(Number<1)

disp_message(3600,'NG', 'window', 12, 12, 'black', 'true')

else

disp_message(3600,'OK\r\n'+DecodedDataStrings, 'window', 12, 12, 'black', 'true')

dev_display (SymbolXLDs)

endif

endfor

write_data_code_2d_model (DataCodeHandle,Path)

else

stop()

endif

*清除句柄，释放内存

clear_data_code_2d_model (DataCodeHandle)

原文地址：http://blog.51cto.com/green906/2157684